Probabilistic multidimensional scaling: An anisotropic model for distance judgments
作者： David B MacKay
DOI: 10.1016/0022-2496(89)90030-8
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摘要: Abstract A probabilistic multidimensional scaling model is proposed in which the coordinates of each stimulus may be correlated and have distinct variances on dimension. Maximum likelihood estimates parameters are obtained. The compared to deterministic isotropic models. Properties described.
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